Details page | Paper / Information search system

Search

Search help

Summary & Details

A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20219011

Paper/Info type: Other International Conferences

Pages: 1-6(Total 6 p)

Date of publication: Sep 2021

Publisher: JSAE

Language: English

Detailed Information

Author(E)	1) Avinash Prabu, 2) Dan Shen, 3) Renran Tian, 4) Stanley Chien, 5) Lingxi Li, 6) Yaobin Chen, 7) Rini Sherony
Affiliation(E)	1) Transportation & Autonomous Systems Institute, 2) Transportation & Autonomous Systems Institute, 3) Transportation & Autonomous Systems Institute, 4) Transportation & Autonomous Systems Institute, 5) Transportation & Autonomous Systems Institute, 6) Transportation & Autonomous Systems Institute, 7) Collaborative Safety Research Center;Toyota Motor North America
Abstract(E)	As one of the most popular micro-mobility options, e-scooters are spreading in hundreds of big cities and college towns in the US and worldwide. In the meantime, e-scooters are also posing new challenges to traffic safety. In general, e-scooters are suggested to be ridden in bike lanes/sidewalks or share the road with cars at the maximum speed of about 15- 20 mph, which is more flexible and much faster than the pedestrians and bicyclists. These features make e-scooters challenging for human drivers, pedestrians, vehicle active safety modules, and self-driving modules to see and interact with. To study this new mobility option and address e-scooter riders' and other road users' safety concerns, this paper proposes a wearable data collection system for investigating the micro-level e-scooter motion behavior in a naturalistic road environment. An e-scooterbased data acquisition system has been developed by integrating LiDAR, cameras, and GPS using the robot operating system (ROS). Software frameworks are designed to support hardware interfaces, sensor operation, sensor synchronization, and data saving. The integrated system can collect data continuously for hours, meeting all the requirements, including calibration accuracy and reconstructing the vehicle and e-scooter encountering scenes.

About search

How to use the search box

You can enter up to 5 search conditions. The number of search boxes can be increased or decreased with the "+" and "-" buttons on the right.

If you enter multiple words separated by spaces in one search box, the data that "contains all" of the entered words will be searched (AND search).

Example) X (space) Y → "X and Y (including)"

How to use "AND" and "OR" pull-down

If "AND" is specified, the "contains both" data of the phrase entered in the previous and next search boxes will be searched. If you specify "OR", the data that "contains" any of the words entered in the search boxes before and after is searched.

Example) X AND Y → "X and Y (including)" X OR Z → "X or Z (including)"

If AND and OR searches are mixed, OR search has priority.

Example) X AND Y OR Z → X AND (Y OR Z)

If AND search and multiple OR search are mixed, OR search has priority.

Example) W AND X OR Y OR Z → W AND (X OR Y OR Z)

How to use the search filters

Use the "search filters" when you want to narrow down the search results, such as when there are too many search results. If you check each item, the search results will be narrowed down to only the data that includes that item.

The number in "()" after each item is the number of data that includes that item.

Search tips

When searching by author name, enter the first and last name separated by a space, such as "Taro Jidosha".